Director, Information Technology
Listed on 2026-07-18
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IT/Tech
IT Business Analyst, AI Engineer (Applied/Software)
Midland-Admin/WC
Midland-Admin/WC
15 Smith Rd, Suite 4000
Midland, TX 79705, USA
The Director of Information Technology provides strategic leadership and hands‑on technical direction for the company's enterprise application ecosystem. This role is responsible for the roadmap, implementation, optimization, integration, support, and governance of critical business systems including ERP, CRM, Salesforce, HRIS, workflow automation platforms, AI‑powered intelligent agents, and other enterprise applications. The Director partners with business leaders to improve business processes, ensure data integrity across systems, and deliver technology solutions that drive operational efficiency through traditional integration approaches and emerging AI/automation capabilities.
This position serves as the primary owner of the enterprise application portfolio, application integrations, operational data stewardship practices, and AI agent development initiatives. The Director ensures enterprise systems are secure, reliable, scalable, and aligned with business objectives while actively participating in solution design, system implementation, integration / application development, troubleshooting, and vendor management. The role includes evaluating and implementing AI‑powered automation solutions, while identifying optimal execution strategies for leveraging AI across enterprise applications.
KeyLeadership Areas
- Strategic roadmap development for enterprise application portfolio and AI integration initiatives
- Hands‑on technical leadership in system implementation, integration architecture, and AI agent development
- Cross‑functional partnership with business leaders to align technology solutions with organizational objectives
- Data governance and operational data stewardship in collaboration with Business Intelligence teams
- Develop and execute enterprise applications strategy aligned with organizational goals
- Lead evaluation and implementation of ERP, CRM, Salesforce, HRIS, and workflow platforms
- Evaluate AI platforms and intelligent agents for automating business processes
- Partner with business leaders to identify process improvement through AI automation
- Define application roadmap including upgrades, integrations, and AI implementations
- Establish governance standards and best practices with AI/automation guardrails
- Manage vendor relationships and negotiate contracts for licenses and AI platforms
- Participate in solution design, configuration, and integration architecture
- Design integration solutions connecting ERP, CRM, Salesforce, HRIS, and other systems
- Build and deploy AI agents for workflow automation and decision support
- Evaluate AI agent execution strategies based on requirements and constraints
- Lead troubleshooting for complex technical issues across applications
- Perform hands‑on configuration, workflow development, and AI agent building
- Conduct technical reviews of integration patterns, data flows, and AI architectures
- Provide technical mentorship on integrations and emerging AI technologies
- Bachelor’s in Computer Science, Information Systems, or related field (Master’s preferred)
- 7+ years managing enterprise applications with 3+ years in leadership
- Hands‑on expertise with ERP, CRM, HRIS, Salesforce and workflow platforms
- Strong experience with APIs, middleware, ETL tools, and integration platforms
- Proven strategic planning and technical implementation track record
- Experience with data governance, master data management, and data quality
- Excellent project management and vendor management skills
- Outstanding communication skills; translates technical concepts for business
- Experience leading technical teams
- Ability to travel (up to 15% - 25%) to regional facilities, branch locations, or corporate headquarters to support systems rollouts or training initiatives.
- Salesforce administration, configuration, and integration
- AI agents, intelligent automation, or RPA implementation in enterprise environments
- AI/ML concepts and application in business process automation
- Manufacturing, distribution, or equipment‑intensive industries
- Cloud‑based enterprise…
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